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Hybrid SNR‐Adaptive Multiuser Detectors for SDMAOFDM Systems

机译:用于 SDMA - OFDM 系统的混合 SNR -自适应多用户检测器

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Multiuser detection ( MUD ) and channel estimation techniques in space‐division multiple‐access aided orthogonal frequency‐division multiplexing systems recently has received intensive interest in receiver design technologies. The maximum likelihood ( ML ) MUD that provides optimal performance has the cost of a dramatically increased computational complexity. The minimum mean‐squared error ( MMSE ) MUD exhibits poor performance, although it achieves lower computational complexity. With almost the same complexity, an MMSE with successive interference cancellation ( SIC ) scheme achieves a better bit error rate performance than a linear MMSE multiuser detector. In this paper, hybrid ML ‐ MMSE with SIC adaptive multiuser detection based on the joint channel estimation method is suggested for signal detection. The simulation results show that the proposed method achieves good performance close to the optimal ML performance at low SNR values and a low computational complexity at high SNR values.
机译:最近,空分多址辅助正交频分复用系统中的多用户检测(MUD)和信道估计技术引起了接收机设计技术的浓厚兴趣。提供最佳性能的最大似然(ML)MUD的代价是大大增加了计算复杂性。最小均方误差(MMSE)MUD表现较差,尽管它实现了较低的计算复杂度。具有几乎相同的复杂度,具有连续干扰消除(SIC)方案的MMSE与线性MMSE多用户检测器相比,具有更好的误码率性能。本文提出了基于联合信道估计方法的带SIC自适应多用户检测的混合ML-MMSE信号检测。仿真结果表明,该方法在低SNR值时具有接近最佳ML性能的良好性能,在高SNR值时具有较低的计算复杂度。

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